Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
Data security is a critical issue for many organizations. Sensitive data must be protected from both inside and outside attackers. Access control policies and related mechanisms h...
: This paper describes a design methodology for an object oriented database,basedon a semantic network. This approach is based on the assumption that Yemanticdata models are more p...
In this paper, we propose a peer-to-peer approach to derive and obtain additional context data from lowlevel context data that may be spread over multiple domains in pervasive com...
A research has been carried on and is still in progress aimed at the construction of three specialized lexicons organized as databases of relational type. The three databases cont...
Rita Marinelli, Adriana Roventini, Giovanni Spadon...